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Bi M, Zhang H, Ma Y, Wang H, Wang W, Shi Y, Sheng W, Li Q, Gao G, Cai L. Modulation Steering Motion by Quantitative Electrical Stimulation in Pigeon Robots. MICROMACHINES 2024; 15:595. [PMID: 38793168 PMCID: PMC11123149 DOI: 10.3390/mi15050595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 05/26/2024]
Abstract
The pigeon robot has attracted significant attention in the field of animal robotics thanks to its outstanding mobility and adaptive capability in complex environments. However, research on pigeon robots is currently facing bottlenecks, and achieving fine control over the motion behavior of pigeon robots through brain-machine interfaces remains challenging. Here, we systematically quantify the relationship between electrical stimulation and stimulus-induced motion behaviors, and provide an analytical method to demonstrate the effectiveness of pigeon robots based on electrical stimulation. In this study, we investigated the influence of gradient voltage intensity (1.2-3.0 V) on the indoor steering motion control of pigeon robots. Additionally, we discussed the response time of electrical stimulation and the effective period of the brain-machine interface. The results indicate that pigeon robots typically exhibit noticeable behavioral responses at a 2.0 V voltage stimulus. Increasing the stimulation intensity significantly controls the steering angle and turning radius (p < 0.05), enabling precise control of pigeon robot steering motion through stimulation intensity regulation. When the threshold voltage is reached, the average response time of a pigeon robot to the electrical stimulation is 220 ms. This study quantifies the role of each stimulation parameter in controlling pigeon robot steering behavior, providing valuable reference information for the precise steering control of pigeon robots. Based on these findings, we offer a solution for achieving precise control of pigeon robot steering motion and contribute to solving the problem of encoding complex trajectory motion in pigeon robots.
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Affiliation(s)
- Mingxuan Bi
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China; (M.B.); (H.Z.); (Y.M.); (W.S.); (Q.L.); (G.G.)
| | - Huimin Zhang
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China; (M.B.); (H.Z.); (Y.M.); (W.S.); (Q.L.); (G.G.)
| | - Yaohong Ma
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China; (M.B.); (H.Z.); (Y.M.); (W.S.); (Q.L.); (G.G.)
| | - Hao Wang
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China; (H.W.); (W.W.)
| | - Wenbo Wang
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China; (H.W.); (W.W.)
| | - Yuan Shi
- School of Life Sciences, Qilu Normal University, Jinan 250200, China;
| | - Wenlong Sheng
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China; (M.B.); (H.Z.); (Y.M.); (W.S.); (Q.L.); (G.G.)
| | - Qiushun Li
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China; (M.B.); (H.Z.); (Y.M.); (W.S.); (Q.L.); (G.G.)
| | - Guangheng Gao
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China; (M.B.); (H.Z.); (Y.M.); (W.S.); (Q.L.); (G.G.)
| | - Lei Cai
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China; (M.B.); (H.Z.); (Y.M.); (W.S.); (Q.L.); (G.G.)
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2
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Park J, Ghanim R, Rahematpura A, Gerage C, Abramson A. Electromechanical convective drug delivery devices for overcoming diffusion barriers. J Control Release 2024; 366:650-667. [PMID: 38190971 PMCID: PMC10922834 DOI: 10.1016/j.jconrel.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/10/2024]
Abstract
Drug delivery systems which rely on diffusion for mass transport, such as hydrogels and nanoparticles, have enhanced drug targeting and extended delivery profiles to improve health outcomes for patients suffering from diseases including cancer and diabetes. However, diffusion-dependent systems often fail to provide >0.01-1% drug bioavailability when transporting macromolecules across poorly permeable physiological tissues such as the skin, solid tumors, the blood-brain barrier, and the gastrointestinal walls. Convection-enabling robotic ingestibles, wearables, and implantables physically interact with tissue walls to improve bioavailability in these settings by multiple orders of magnitude through convective mass transfer, the process of moving drug molecules via bulk fluid flow. In this Review, we compare diffusive and convective drug delivery systems, highlight engineering techniques that enhance the efficacy of convective devices, and provide examples of synergies between the two methods of drug transport.
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Affiliation(s)
- Jihoon Park
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Ramy Ghanim
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Adwik Rahematpura
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Caroline Gerage
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Alex Abramson
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; Division of Digestive Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA.
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3
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Xia J, Zhang F, Zhang L, Cao Z, Dong S, Zhang S, Luo J, Zhou G. Magnetically Compatible Brain Electrode Arrays Based on Single-Walled Carbon Nanotubes for Long-Term Implantation. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:240. [PMID: 38334511 PMCID: PMC10856774 DOI: 10.3390/nano14030240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/10/2024]
Abstract
Advancements in brain-machine interfaces and neurological treatments urgently require the development of improved brain electrodes applied for long-term implantation, where traditional and polymer options face challenges like size, tissue damage, and signal quality. Carbon nanotubes are emerging as a promising alternative, combining excellent electronic properties and biocompatibility, which ensure better neuron coupling and stable signal acquisition. In this study, a new flexible brain electrode array based on 99.99% purity of single-walled carbon nanotubes (SWCNTs) was developed, which has 30 um × 40 um size, about 5.1 kΩ impedance, and 14.01 dB signal-to-noise ratio (SNR). The long-term implantation experiment in vivo in mice shows the proposed brain electrode can maintain stable LFP signal acquisition over 12 weeks while still achieving an SNR of 3.52 dB. The histological analysis results show that SWCNT-based brain electrodes induced minimal tissue damage and showed significantly reduced glial cell responses compared to platinum wire electrodes. Long-term stability comes from SWCNT's biocompatibility and chemical inertness, the electrode's flexible and fine structure. Furthermore, the new brain electrode array can function effectively during 7-Tesla magnetic resonance imaging, enabling the collection of local field potential and even epileptic discharges during the magnetic scan. This study provides a comprehensive study of carbon nanotubes as invasive brain electrodes, providing a new path to address the challenge of long-term brain electrode implantation.
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Affiliation(s)
- Jie Xia
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
- Nanhu Brain-Computer Interface Institute, Hangzhou 311121, China
| | - Fan Zhang
- The Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China; (F.Z.); (S.Z.)
| | - Luxi Zhang
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
- Nanhu Brain-Computer Interface Institute, Hangzhou 311121, China
| | - Zhen Cao
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
| | - Shurong Dong
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
- Nanhu Brain-Computer Interface Institute, Hangzhou 311121, China
| | - Shaomin Zhang
- The Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China; (F.Z.); (S.Z.)
| | - Jikui Luo
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
| | - Guodong Zhou
- College of Integrated Circuits, Zhejiang University, Hangzhou 311200, China;
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Jiang K, Yu Y, Qiu W, Tian K, Guo Z, Qian J, Lu H, Zhan C. Protein corona on brain targeted nanocarriers: Challenges and prospects. Adv Drug Deliv Rev 2023; 202:115114. [PMID: 37827336 DOI: 10.1016/j.addr.2023.115114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/28/2023] [Accepted: 10/09/2023] [Indexed: 10/14/2023]
Abstract
Safe and efficient medical therapy for brain diseases is still an unmet clinical need due to various barriers represented by the blood-brain barrier. Well-designed brain targeted nanocarriers are potential solutions for enhanced brain drug delivery; however, the complicated in vivo process attenuates performance of nanocarriers, which severely hampers clinical translation. The formation of protein corona (PC) is inevitable for nanocarriers circulation and transport in biofluids, acting as an important factor to regulate in vivo performance of nanocarriers. In this review, the reported strategies have been retrospected for better understanding current situation in developing brain targeted nanocarriers. The interplay between brain targeted nanocarriers and plasma proteins is emphasized to comprehend how the nanocarriers adsorb proteins by certain synthetic identity, and following regulations on in vivo performance of nanocarriers. More importantly, the mainstream methods to promote efficiency of nanocarriers by regulating PC, defined as in vitro functionalization and in vivo functionalization strategies, are also discussed. Finally, viewpoints about future development of brain targeted nanocarriers according to the understanding on nanocarriers-PC interaction are proposed.
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Affiliation(s)
- Kuan Jiang
- Eye Institute and Department of Ophthalmology, Eye and ENT Hospital & Department of Pharmacology, School of Basic Medical Sciences & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200031, PR China
| | - Yifei Yu
- Eye Institute and Department of Ophthalmology, Eye and ENT Hospital & Department of Pharmacology, School of Basic Medical Sciences & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200031, PR China
| | - Wei Qiu
- Eye Institute and Department of Ophthalmology, Eye and ENT Hospital & Department of Pharmacology, School of Basic Medical Sciences & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200031, PR China
| | - Kaisong Tian
- Eye Institute and Department of Ophthalmology, Eye and ENT Hospital & Department of Pharmacology, School of Basic Medical Sciences & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200031, PR China
| | - Zhiwei Guo
- Eye Institute and Department of Ophthalmology, Eye and ENT Hospital & Department of Pharmacology, School of Basic Medical Sciences & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200031, PR China
| | - Jun Qian
- Department of Pharmacy, Shanghai Pudong Hospital, Fudan University Pudong Medical Center & School of Pharmacy, Key Laboratory of Smart Drug Delivery, Ministry of Education, Fudan University, Shanghai, 201399, PR China
| | - Huiping Lu
- Department of Pharmacy, Shanghai Pudong Hospital, Fudan University Pudong Medical Center & School of Pharmacy, Key Laboratory of Smart Drug Delivery, Ministry of Education, Fudan University, Shanghai, 201399, PR China.
| | - Changyou Zhan
- Eye Institute and Department of Ophthalmology, Eye and ENT Hospital & Department of Pharmacology, School of Basic Medical Sciences & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200031, PR China; Department of Pharmacy, Shanghai Pudong Hospital, Fudan University Pudong Medical Center & School of Pharmacy, Key Laboratory of Smart Drug Delivery, Ministry of Education, Fudan University, Shanghai, 201399, PR China.
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5
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Garwood IC, Major AJ, Antonini MJ, Correa J, Lee Y, Sahasrabudhe A, Mahnke MK, Miller EK, Brown EN, Anikeeva P. Multifunctional fibers enable modulation of cortical and deep brain activity during cognitive behavior in macaques. SCIENCE ADVANCES 2023; 9:eadh0974. [PMID: 37801492 PMCID: PMC10558126 DOI: 10.1126/sciadv.adh0974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 09/05/2023] [Indexed: 10/08/2023]
Abstract
Recording and modulating neural activity in vivo enables investigations of the neurophysiology underlying behavior and disease. However, there is a dearth of translational tools for simultaneous recording and localized receptor-specific modulation. We address this limitation by translating multifunctional fiber neurotechnology previously only available for rodent studies to enable cortical and subcortical neural recording and modulation in macaques. We record single-neuron and broader oscillatory activity during intracranial GABA infusions in the premotor cortex and putamen. By applying state-space models to characterize changes in electrophysiology, we uncover that neural activity evoked by a working memory task is reshaped by even a modest local inhibition. The recordings provide detailed insight into the electrophysiological effect of neurotransmitter receptor modulation in both cortical and subcortical structures in an awake macaque. Our results demonstrate a first-time application of multifunctional fibers for causal studies of neuronal activity in behaving nonhuman primates and pave the way for clinical translation of fiber-based neurotechnology.
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Affiliation(s)
- Indie C. Garwood
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alex J. Major
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Marc-Joseph Antonini
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Josefina Correa
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Youngbin Lee
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Atharva Sahasrabudhe
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Meredith K. Mahnke
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Earl K. Miller
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Emery N. Brown
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
- Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Anaesthesia, Harvard Medical School, Boston, MA, USA
| | - Polina Anikeeva
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
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6
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Valenza M, Birolini G, Cattaneo E. The translational potential of cholesterol-based therapies for neurological disease. Nat Rev Neurol 2023; 19:583-598. [PMID: 37644213 DOI: 10.1038/s41582-023-00864-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2023] [Indexed: 08/31/2023]
Abstract
Cholesterol is an important metabolite and membrane component and is enriched in the brain owing to its role in neuronal maturation and function. In the adult brain, cholesterol is produced locally, predominantly by astrocytes. When cholesterol has been used, recycled and catabolized, the derivatives are excreted across the blood-brain barrier. Abnormalities in any of these steps can lead to neurological dysfunction. Here, we examine how precise interactions between cholesterol production and its use and catabolism in neurons ensures cholesterol homeostasis to support brain function. As an example of a neurological disease associated with cholesterol dyshomeostasis, we summarize evidence from animal models of Huntington disease (HD), which demonstrate a marked reduction in cholesterol biosynthesis with clinically relevant consequences for synaptic activity and cognition. In addition, we examine the relationship between cholesterol loss in the brain and cognitive decline in ageing. We then present emerging therapeutic strategies to restore cholesterol homeostasis, focusing on evidence from HD mouse models.
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Affiliation(s)
- Marta Valenza
- Department of Biosciences, University of Milan, Milan, Italy.
- Istituto Nazionale di Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy.
| | - Giulia Birolini
- Department of Biosciences, University of Milan, Milan, Italy
- Istituto Nazionale di Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy
| | - Elena Cattaneo
- Department of Biosciences, University of Milan, Milan, Italy.
- Istituto Nazionale di Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy.
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7
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Ghanim R, Kaushik A, Park J, Abramson A. Communication Protocols Integrating Wearables, Ingestibles, and Implantables for Closed-Loop Therapies. DEVICE 2023; 1:100092. [PMID: 38465200 PMCID: PMC10923538 DOI: 10.1016/j.device.2023.100092] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Body-conformal sensors and tissue interfacing robotic therapeutics enable the real-time monitoring and treatment of diabetes, wound healing, and other critical conditions. By integrating sensors and drug delivery devices, scientists and engineers have developed closed-loop drug delivery systems with on-demand therapeutic capabilities to provide just-in-time treatments that correspond to chemical, electrical, and physical signals of a target morbidity. To enable closed-loop functionality in vivo, engineers utilize various low-power means of communication that reduce the size of implants by orders of magnitude, increase device lifetime from hours to months, and ensure the secure high-speed transfer of data. In this review, we highlight how communication protocols used to integrate sensors and drug delivery devices, such as radio frequency communication (e.g., Bluetooth, near-field communication), in-body communication, and ultrasound, enable improved treatment outcomes.
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Affiliation(s)
- Ramy Ghanim
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Anika Kaushik
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Jihoon Park
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Alex Abramson
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
- Division of Digestive Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA
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8
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Bittner B, Sánchez-Félix M, Lee D, Koynov A, Horvath J, Schumacher F, Matoori S. Drug delivery breakthrough technologies - A perspective on clinical and societal impact. J Control Release 2023; 360:335-343. [PMID: 37364797 DOI: 10.1016/j.jconrel.2023.06.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 06/23/2023] [Indexed: 06/28/2023]
Abstract
The way a drug molecule is administered has always had a profound impact on people requiring medical interventions - from vaccine development to cancer therapeutics. In the Controlled Release Society Fall Symposium 2022, a trans-institutional group of scientists from industry, academia, and non-governmental organizations discussed what a breakthrough in the field of drug delivery constitutes. On the basis of these discussions, we classified drug delivery breakthrough technologies into three categories. In category 1, drug delivery systems enable treatment for new molecular entities per se, for instance by overcoming biological barriers. In category 2, drug delivery systems optimize efficacy and/or safety of an existing drug, for instance by directing distribution to their target tissue, by replacing toxic excipients, or by changing the dosing reqimen. In category 3, drug delivery systems improve global access by fostering use in low-resource settings, for instance by facilitating drug administration outside of a controlled health care institutional setting. We recognize that certain breakthroughs can be classified in more than one category. It was concluded that in order to create a true breakthrough technology, multidisciplinary collaboration is mandated to move from pure technical inventions to true innovations addressing key current and emerging unmet health care needs.
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Affiliation(s)
- Beate Bittner
- Global Product Strategy, Product Optimization, Grenzacher Strasse 124, 4070 Basel, Switzerland.
| | - Manuel Sánchez-Félix
- Novartis Institutes for BioMedical Research, 700 Main Street, Cambridge, MA 02139, USA
| | - Dennis Lee
- Bill & Melinda Gates Foundation, Seattle, WA 98119, United States
| | - Athanas Koynov
- Pharmaceutical Sciences, Merck & Co., Inc., Rahway, NJ 07033, United States
| | - Joshua Horvath
- Device and Packaging Development, Genentech, Inc., South San Francisco, CA, United States
| | - Felix Schumacher
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, 4070 Basel, Switzerland
| | - Simon Matoori
- Faculté de Pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montréal, QC H3T 1J4, Canada.
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Koo K, Kim C, Kim H, Cho Y, Suhito IR, Kim T. Extracellularly Detectable Electrochemical Signals of Living Cells Originate from Metabolic Reactions. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207084. [PMID: 36737855 PMCID: PMC10037963 DOI: 10.1002/advs.202207084] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/17/2023] [Indexed: 05/31/2023]
Abstract
Direct detection of cellular redox signals has shown immense potential as a novel living cell analysis tool. However, the origin of such signals remains unknown, which hinders the widespread use of electrochemical methods for cellular research. In this study, the authors found that intracellular metabolic pathways that generate adenosine triphosphate (ATP) are the main contributors to extracellularly detectable electrochemical signals. This is achieved through the detection of living cells (4,706 cells/chip, linearity: 0.985) at a linear range of 7,466-48,866. Based on this discovery, the authors demonstrated that the cellular signals detected by differential pulse voltammetry (DPV) can be rapidly amplified with a developed medium containing metabolic activator cocktails (MACs). The DPV approach combined with MAC treatment shows a remarkable performance to detect the effects of the anticancer drug CPI-613 on cervical cancer both at a low drug concentration (2 µm) and an extremely short treatment time (1 hour). Furthermore, the senescence of mesenchymal stem cells could also be sensitively quantified using the DPV+MAC method even at a low passage number (P6). Collectively, their findings unveiled the origin of redox signals in living cells, which has important implications for the characterization of various cellular functions and behaviors using electrochemical approaches.
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Affiliation(s)
- Kyeong‐Mo Koo
- School of Integrative EngineeringChung‐Ang UniversitySeoul06974Republic of Korea
| | - Chang‐Dae Kim
- School of Integrative EngineeringChung‐Ang UniversitySeoul06974Republic of Korea
| | - Huijung Kim
- School of Integrative EngineeringChung‐Ang UniversitySeoul06974Republic of Korea
| | - Yeon‐Woo Cho
- School of Integrative EngineeringChung‐Ang UniversitySeoul06974Republic of Korea
| | - Intan Rosalina Suhito
- School of Integrative EngineeringChung‐Ang UniversitySeoul06974Republic of Korea
- Department of Biomedical EngineeringNational University of SingaporeSingapore117583Singapore
| | - Tae‐Hyung Kim
- School of Integrative EngineeringChung‐Ang UniversitySeoul06974Republic of Korea
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Xiong H, Alberto KA, Youn J, Taura J, Morstein J, Li X, Wang Y, Trauner D, Slesinger PA, Nielsen SO, Qin Z. Optical control of neuronal activities with photoswitchable nanovesicles. NANO RESEARCH 2023; 16:1033-1041. [PMID: 37063114 PMCID: PMC10103898 DOI: 10.1007/s12274-022-4853-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 06/19/2023]
Abstract
Precise modulation of neuronal activity by neuroactive molecules is essential for understanding brain circuits and behavior. However, tools for highly controllable molecular release are lacking. Here, we developed a photoswitchable nanovesicle with azobenzene-containing phosphatidylcholine (azo-PC), coined 'azosome', for neuromodulation. Irradiation with 365 nm light triggers the trans-to-cis isomerization of azo-PC, resulting in a disordered lipid bilayer with decreased thickness and cargo release. Irradiation with 455 nm light induces reverse isomerization and switches the release off. Real-time fluorescence imaging shows controllable and repeatable cargo release within seconds (< 3 s). Importantly, we demonstrate that SKF-81297, a dopamine D1-receptor agonist, can be repeatedly released from the azosome to activate cultures of primary striatal neurons. Azosome shows promise for precise optical control over the molecular release and can be a valuable tool for molecular neuroscience studies.
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Affiliation(s)
- Hejian Xiong
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Kevin A. Alberto
- Department of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Jonghae Youn
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Jaume Taura
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Johannes Morstein
- Department of Chemistry, New York University, New York, NY 10012, USA
| | - Xiuying Li
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Yang Wang
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Dirk Trauner
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paul A. Slesinger
- Department of Chemistry, New York University, New York, NY 10012, USA
| | - Steven O. Nielsen
- Department of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Zhenpeng Qin
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
- Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA
- Department of Surgery, University of Texas at Southwestern Medical Center, Dallas, TX 75080, USA
- Center for Advanced Pain Studies, The University of Texas at Dallas, Richardson, TX 75080, USA
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11
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Xiong H, Alberto KA, Youn J, Taura J, Morstein J, Li X, Wang Y, Trauner D, Slesinger PA, Nielsen SO, Qin Z. Optical control of neuronal activities with photoswitchable nanovesicles. NANO RESEARCH 2023; 16:1033-1041. [PMID: 37063114 DOI: 10.1007/s12274-022-4976-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/26/2022] [Accepted: 08/27/2022] [Indexed: 05/25/2023]
Abstract
Precise modulation of neuronal activity by neuroactive molecules is essential for understanding brain circuits and behavior. However, tools for highly controllable molecular release are lacking. Here, we developed a photoswitchable nanovesicle with azobenzene-containing phosphatidylcholine (azo-PC), coined 'azosome', for neuromodulation. Irradiation with 365 nm light triggers the trans-to-cis isomerization of azo-PC, resulting in a disordered lipid bilayer with decreased thickness and cargo release. Irradiation with 455 nm light induces reverse isomerization and switches the release off. Real-time fluorescence imaging shows controllable and repeatable cargo release within seconds (< 3 s). Importantly, we demonstrate that SKF-81297, a dopamine D1-receptor agonist, can be repeatedly released from the azosome to activate cultures of primary striatal neurons. Azosome shows promise for precise optical control over the molecular release and can be a valuable tool for molecular neuroscience studies.
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Affiliation(s)
- Hejian Xiong
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Kevin A Alberto
- Department of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Jonghae Youn
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Jaume Taura
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Johannes Morstein
- Department of Chemistry, New York University, New York, NY 10012, USA
| | - Xiuying Li
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Yang Wang
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Dirk Trauner
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paul A Slesinger
- Department of Chemistry, New York University, New York, NY 10012, USA
| | - Steven O Nielsen
- Department of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Zhenpeng Qin
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA
- Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA
- Department of Surgery, University of Texas at Southwestern Medical Center, Dallas, TX 75080, USA
- Center for Advanced Pain Studies, The University of Texas at Dallas, Richardson, TX 75080, USA
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12
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Zou L, Wang J, Fang Y, Tian H. PEG-mediated transduction of rAAV as a platform for spatially confined and efficient gene delivery. Biomater Res 2022; 26:69. [PMID: 36461117 PMCID: PMC9716683 DOI: 10.1186/s40824-022-00322-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/13/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Recombinant adeno-associated viruses (rAAV) are commonly used vectors for gene delivery in both basic neuroscience and clinical applications due to their nonpathogenic, minimally immunogenic, and sustained expression properties. However, several challenges remain for the wide-scale rAAV applications, including poor infection of many clinically important cell lines, insufficient expression at low titers, and diffusive transduction in vivo. METHODS In this work, PEG, which is a safe and non-toxic polymer of ethylene oxide monomer, was applied as an auxiliary transduction agent to improve the expression of rAAV. In detail, a small dose of PEG was added into the rAAV solution for the transgene expression in cell lines in vitro, and in the central nervous system (CNS) in vivo. The biocompatibility of PEG enhancer was assessed by characterizing the immune responses, cell morphology, cell tropism of rAAV, neuronal apoptosis, as well as motor function of animals. RESULTS The results show that small dose of PEG additive can effectively improve the gene expression characteristics of rAAV both in vitro and in vivo. Specifically, the PEG additive allows efficient transgene expression in cell lines that are difficult to be transfected with rAAV alone. In vivo studies show that the PEG additive can promote a spatially confined and efficient transgene expression of low-titer rAAV in the brain over long terms. In addition, no obvious side effects of PEG were observed on CNS in the biocompatibility studies. CONCLUSIONS This spatially confined and efficient transduction method can facilitate the applications of rAAV in fundamental research, especially in the precise dissection of neural circuits, and also improve the capabilities of rAAV in the treatment of neurological diseases which originate from the disorders of small nuclei in the brain.
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Affiliation(s)
- Liang Zou
- grid.419265.d0000 0004 1806 6075CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China ,grid.9227.e0000000119573309CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031 China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Jinfen Wang
- grid.419265.d0000 0004 1806 6075CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
| | - Ying Fang
- grid.419265.d0000 0004 1806 6075CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China ,grid.9227.e0000000119573309CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031 China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Huihui Tian
- grid.419265.d0000 0004 1806 6075CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
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13
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Liu G, Lu Y, Zhang F, Liu Q. Electronically powered drug delivery devices: considerations and challenges. Expert Opin Drug Deliv 2022; 19:1636-1649. [PMID: 36305080 DOI: 10.1080/17425247.2022.2141709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
INTRODUCTION Electronically powered drug delivery devices enable a controlled drug release route for a more convenient and painless way with reduced side effects. The current advances in microfabrication and microelectronics have facilitated miniaturization and intelligence with the integration of sensors and wireless communication modules. These devices have become an essential component of commercialized on-demand drug delivery. AREAS COVERED This review aims to provide a concise overview of current progress in electronically powered drug devices, focusing on delivery strategies, manufacturing techniques, and control circuit design with specific examples. EXPERT OPINION The application of electronically powered drug delivery systems is now considered a feasible therapeutic approach with improved drug release efficiency and increased patient comfort. It is anticipated that these technologies will gradually fulfill clinical needs and resolve commercialization challenges in the future. This review discusses the current advances in electronic drug delivery devices, especially focusing on designing strategies to achieve an effective drug release, as well as the perspectives and challenges for future applications in clinical therapy.
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Affiliation(s)
- Guang Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, P. R. China
| | - Yanli Lu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, P. R. China
| | - Fenni Zhang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, P. R. China
| | - Qingjun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, P. R. China
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14
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Coles L, Oluwasanya PW, Karam N, Proctor CM. Fluidic enabled bioelectronic implants: opportunities and challenges. J Mater Chem B 2022; 10:7122-7131. [PMID: 35959561 PMCID: PMC9518646 DOI: 10.1039/d2tb00942k] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/26/2022] [Indexed: 11/21/2022]
Abstract
Bioelectronic implants are increasingly facilitating novel strategies for clinical diagnosis and treatment. The integration of fluidic technologies into such implants enables new complementary routes for sensing and therapy alongside electrical interaction. Indeed, these two technologies, electrical and fluidic, can work synergistically in a bioelectronics implant towards the fabrication of a complete therapeutic platform. In this perspective article, the leading applications of fluidic enabled bioelectronic implants are highlighted and methods of operation and material choices are discussed. Furthermore, a forward-looking perspective is offered on emerging opportunities as well as critical materials and technological challenges.
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Affiliation(s)
- Lawrence Coles
- Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, UK.
| | - Pelumi W Oluwasanya
- Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, UK.
| | - Nuzli Karam
- Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, UK.
| | - Christopher M Proctor
- Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, UK.
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15
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Yoon Y, Shin H, Byun D, Woo J, Cho Y, Choi N, Cho IJ. Neural probe system for behavioral neuropharmacology by bi-directional wireless drug delivery and electrophysiology in socially interacting mice. Nat Commun 2022; 13:5521. [PMID: 36130965 PMCID: PMC9492903 DOI: 10.1038/s41467-022-33296-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 09/13/2022] [Indexed: 11/09/2022] Open
Abstract
Assessing the neurological and behavioral effects of drugs is important in developing pharmacological treatments, as well as understanding the mechanisms associated with neurological disorders. Herein, we present a miniaturized, wireless neural probe system with the capability of delivering drugs for the real-time investigation of the effects of the drugs on both behavioral and neural activities in socially interacting mice. We demonstrate wireless drug delivery and simultaneous monitoring of the resulting neural, behavioral changes, as well as the dose-dependent and repeatable responses to drugs. Furthermore, in pairs of mice, we use a food competition assay in which social interaction was modulated by the delivery of the drug, and the resulting changes in their neural activities are analyzed. During modulated food competition by drug injection, we observe changes in neural activity in mPFC region of a participating mouse over time. Our system may provide new opportunities for the development of studying the effects of drugs on behaviour and neural activity. Technologies for monitoring electrophysiological effects of drugs in behaving animals have limitations. Here the authors report a wireless neural probe system with drug delivery capability for real-time monitoring of drug effects.
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Affiliation(s)
- Yousang Yoon
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Hyogeun Shin
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Donghak Byun
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Jiwan Woo
- Research Animal Resource Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Yakdol Cho
- Research Animal Resource Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Nakwon Choi
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.,KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea
| | - Il-Joo Cho
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, 02841, Republic of Korea.
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16
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Lee J, Lee S, Jung W, Kim GB, Kim T, Seong J, Jang H, Noh Y, Lee NK, Lee BR, Lee JI, Choi SJ, Oh W, Kim N, Lee S, Na DL. IntraBrain Injector (IBI): A Stereotactic-Guided Device for Repeated Delivery of Therapeutic Agents Into the Brain Parenchyma. J Korean Med Sci 2022; 37:e244. [PMID: 35942557 PMCID: PMC9359919 DOI: 10.3346/jkms.2022.37.e244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND To deliver therapeutics into the brain, it is imperative to overcome the issue of the blood-brain-barrier (BBB). One of the ways to circumvent the BBB is to administer therapeutics directly into the brain parenchyma. To enhance the treatment efficacy for chronic neurodegenerative disorders, repeated administration to the target location is required. However, this increases the number of operations that must be performed. In this study, we developed the IntraBrain Injector (IBI), a new implantable device to repeatedly deliver therapeutics into the brain parenchyma. METHODS We designed and fabricated IBI with medical grade materials, and evaluated the efficacy and safety of IBI in 9 beagles. The trajectory of IBI to the hippocampus was simulated prior to surgery and the device was implanted using 3D-printed adaptor and surgical guides. Ferumoxytol-labeled mesenchymal stem cells (MSCs) were injected into the hippocampus via IBI, and magnetic resonance images were taken before and after the administration to analyze the accuracy of repeated injection. RESULTS We compared the planned vs. insertion trajectory of IBI to the hippocampus. With a similarity of 0.990 ± 0.001 (mean ± standard deviation), precise targeting of IBI was confirmed by comparing planned vs. insertion trajectories of IBI. Multiple administrations of ferumoxytol-labeled MSCs into the hippocampus using IBI were both feasible and successful (success rate of 76.7%). Safety of initial IBI implantation, repeated administration of therapeutics, and long-term implantation have all been evaluated in this study. CONCLUSION Precise and repeated delivery of therapeutics into the brain parenchyma can be done without performing additional surgeries via IBI implantation.
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Affiliation(s)
- Jeongmin Lee
- Cell and Gene Therapy Institute, Samsung Medical Center, Seoul, Korea
| | | | - Wooram Jung
- Cell and Gene Therapy Institute, Samsung Medical Center, Seoul, Korea
| | | | - Taehun Kim
- Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | | | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Samsung Alzheimer Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Young Noh
- Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Na Kyung Lee
- Cell and Gene Therapy Institute, Samsung Medical Center, Seoul, Korea
- Samsung Alzheimer Convergence Research Center, Samsung Medical Center, Seoul, Korea
- Sungkyunkwan University School of Medicine, Seoul, Korea
| | | | - Jung-Il Lee
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soo Jin Choi
- Biomedical Research Institute, MEDIPOST Co., Ltd., Seongnam, Korea
| | - Wonil Oh
- Biomedical Research Institute, MEDIPOST Co., Ltd., Seongnam, Korea
| | - Namkug Kim
- Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Seunghoon Lee
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Duk L Na
- Cell and Gene Therapy Institute, Samsung Medical Center, Seoul, Korea
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Samsung Alzheimer Convergence Research Center, Samsung Medical Center, Seoul, Korea. ,
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17
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Dhawan V, Cui XT. Carbohydrate based biomaterials for neural interface applications. J Mater Chem B 2022; 10:4714-4740. [PMID: 35702979 DOI: 10.1039/d2tb00584k] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Neuroprosthetic devices that record and modulate neural activities have demonstrated immense potential for bypassing or restoring lost neurological functions due to neural injuries and disorders. However, implantable electrical devices interfacing with brain tissue are susceptible to a series of inflammatory tissue responses along with mechanical or electrical failures which can affect the device performance over time. Several biomaterial strategies have been implemented to improve device-tissue integration for high quality and stable performance. Ranging from developing smaller, softer, and more flexible electrode designs to introducing bioactive coatings and drug-eluting layers on the electrode surface, such strategies have shown different degrees of success but with limitations. With their hydrophilic properties and specific bioactivities, carbohydrates offer a potential solution for addressing some of the limitations of the existing biomolecular approaches. In this review, we summarize the role of polysaccharides in the central nervous system, with a primary focus on glycoproteins and proteoglycans, to shed light on their untapped potential as biomaterials for neural implants. Utilization of glycosaminoglycans for neural interface and tissue regeneration applications is comprehensively reviewed to provide the current state of carbohydrate-based biomaterials for neural implants. Finally, we will discuss the challenges and opportunities of applying carbohydrate-based biomaterials for neural tissue interfaces.
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Affiliation(s)
- Vaishnavi Dhawan
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA. .,Center for Neural Basis of Cognition, Pittsburgh, PA, USA
| | - Xinyan Tracy Cui
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA. .,Center for Neural Basis of Cognition, Pittsburgh, PA, USA.,McGowan Institute for Regenerative Medicine, Pittsburgh, PA, USA
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18
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Hee Lee J, Lee S, Kim D, Jae Lee K. Implantable Micro-Light-Emitting Diode (µLED)-based optogenetic interfaces toward human applications. Adv Drug Deliv Rev 2022; 187:114399. [PMID: 35716898 DOI: 10.1016/j.addr.2022.114399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/29/2022] [Accepted: 06/10/2022] [Indexed: 11/25/2022]
Abstract
Optogenetics has received wide attention in biomedical fields because of itsadvantages in temporal precision and spatial resolution. Beyond contributions to important advances in fundamental research, optogenetics is inspiring a shift towards new methods of improving human well-being and treating diseases. Soft, flexible and biocompatible systems using µLEDs as a light source have been introduced to realize brain-compatible optogenetic implants, but there are still many technical challenges to overcome before their human applications. In this review, we address progress in the development of implantable µLED probes and recent achievements in (i) device engineering design, (ii) driving power, (iii) multifunctionality and (iv) closed-loop systems. (v) Expanded optogenetic applications based on remarkable advances in µLED implants will also be discussed.
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Affiliation(s)
- Jae Hee Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Sinjeong Lee
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Daesoo Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
| | - Keon Jae Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
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19
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Kim HR, Jung Y, Shin J, Park M, Kweon DH, Ban C. Neuron-recognizable characteristics of peptides recombined using a neuronal binding domain of botulinum neurotoxin. Sci Rep 2022; 12:4980. [PMID: 35322139 PMCID: PMC8943039 DOI: 10.1038/s41598-022-09145-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 03/14/2022] [Indexed: 11/09/2022] Open
Abstract
Recombinant peptides were designed using the C-terminal domain (receptor binding domain, RBD) and its subdomain (peptide A2) of a heavy chain of botulinum neurotoxin A-type 1 (BoNT/A1), which can bind to the luminal domain of synaptic vesicle glycoprotein 2C (SV2C-LD). Peptide A2- or RBD-containing recombinant peptides linked to an enhanced green fluorescence protein (EGFP) were prepared by expression in Escherichia coli. A pull-down assay using SV2C-LD-covered resins showed that the recombinant peptides for CDC297 BoNT/A1, referred to EGFP-A2' and EGFP-RBD', exhibited ≥ 2.0-times stronger binding affinity to SV2C-LD than those for the wild-type BoNT/A1. Using bio-layer interferometry, an equilibrium dissociation rate constant (KD) of EGFP-RBD' to SV2C-LD was determined to be 5.45 μM, which is 33.87- and 15.67-times smaller than the KD values for EGFP and EGFP-A2', respectively. Based on confocal laser fluorescence micrometric analysis, the adsorption/absorption of EGFP-RBD' to/in differentiated PC-12 cells was 2.49- and 1.29-times faster than those of EGFP and EGFP-A2', respectively. Consequently, the recombinant peptides acquired reasonable neuron-specific binding/internalizing ability through the recruitment of RBD'. In conclusion, RBDs of BoNTs are versatile protein domains that can be used to mark neural systems and treat a range of disorders in neural systems.
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Affiliation(s)
- Hye Rin Kim
- Department of Integrative Biotechnology, Sungkyunkwan University, Seoburo 2066, Suwon, Gyeonggi, 16419, Republic of Korea
| | - Younghun Jung
- Department of Integrative Biotechnology, Sungkyunkwan University, Seoburo 2066, Suwon, Gyeonggi, 16419, Republic of Korea.,Institute of Biomolecule Control, Sungkyunkwan University, Seoburo 2066, Suwon, Gyeonggi, 16419, Republic of Korea
| | - Jonghyeok Shin
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Myungseo Park
- Environmental Health Sciences, School of Public Health, University of Minnesota, Saint Paul, MN, 55108, USA
| | - Dae-Hyuk Kweon
- Department of Integrative Biotechnology, Sungkyunkwan University, Seoburo 2066, Suwon, Gyeonggi, 16419, Republic of Korea. .,Institute of Biomolecule Control, Sungkyunkwan University, Seoburo 2066, Suwon, Gyeonggi, 16419, Republic of Korea. .,Biologics Research Center, Sungkyunkwan University, Seoburo 2066, Suwon, Gyeonggi, 16419, Republic of Korea. .,Interdisciplinary Program in BioCosmetics, Sungkyunkwan University, Seoburo 2066, Suwon, Gyeonggi, 16419, Republic of Korea.
| | - Choongjin Ban
- Department of Environmental Horticulture, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul, 02504, Republic of Korea.
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20
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Park Y, Chung TS, Lee G, Rogers JA. Materials Chemistry of Neural Interface Technologies and Recent Advances in Three-Dimensional Systems. Chem Rev 2021; 122:5277-5316. [PMID: 34739219 DOI: 10.1021/acs.chemrev.1c00639] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Advances in materials chemistry and engineering serve as the basis for multifunctional neural interfaces that span length scales from individual neurons to neural networks, neural tissues, and complete neural systems. Such technologies exploit electrical, electrochemical, optical, and/or pharmacological modalities in sensing and neuromodulation for fundamental studies in neuroscience research, with additional potential to serve as routes for monitoring and treating neurodegenerative diseases and for rehabilitating patients. This review summarizes the essential role of chemistry in this field of research, with an emphasis on recently published results and developing trends. The focus is on enabling materials in diverse device constructs, including their latest utilization in 3D bioelectronic frameworks formed by 3D printing, self-folding, and mechanically guided assembly. A concluding section highlights key challenges and future directions.
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Affiliation(s)
- Yoonseok Park
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
| | - Ted S Chung
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Geumbee Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States.,Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.,Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, Illinois 60208, United States.,Department of Chemistry, Northwestern University, Evanston, Illinois 60208, United States.,Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States.,Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
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21
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Ivone R, Yang Y, Shen J. Recent Advances in 3D Printing for Parenteral Applications. AAPS J 2021; 23:87. [PMID: 34145513 PMCID: PMC8212901 DOI: 10.1208/s12248-021-00610-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/17/2021] [Indexed: 12/25/2022] Open
Abstract
3D printing has emerged as an advanced manufacturing technology in the field of pharmaceutical sciences. Despite much focus on enteral applications, there has been a lack of research focused on potential benefits of 3D printing for parenteral applications such as wound dressings, biomedical devices, and regenerative medicines. 3D printing technologies, including fused deposition modeling, vat polymerization, and powder bed printing, allow for rapid prototyping of personalized medications, capable of producing dosage forms with flexible dimensions based on patient anatomy as well as dosage form properties such as porosity. Considerations such as printing properties and material selection play a key role in determining overall printability of the constructs. These parameters also impact drug release kinetics, and mechanical properties of final printed constructs, which play a role in modulating immune response upon insertion in the body. Despite challenges in sterilization of printed constructs, additional post-printing processing procedures, and lack of regulatory guidance, 3D printing will continue to evolve to meet the needs of developing effective, personalized medicines for parenteral applications.
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Affiliation(s)
- Ryan Ivone
- grid.20431.340000 0004 0416 2242Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, 7 Greenhouse Road, Kingston, Rhode Island 02881 USA
| | - Yan Yang
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
| | - Jie Shen
- Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, 7 Greenhouse Road, Kingston, Rhode Island, 02881, USA. .,Department of Chemical Engineering, University of Rhode Island, 7 Greenhouse Road, Kingston, Rhode Island, 02881, USA.
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22
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Björk V. Aging of the Suprachiasmatic Nucleus, CIRCLONSA Syndrome, Implications for Regenerative Medicine and Restoration of the Master Body Clock. Rejuvenation Res 2021; 24:274-282. [PMID: 33573456 DOI: 10.1089/rej.2020.2388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
The suprachiasmatic nucleus (SCN) in the brain is the master regulator of the circadian clocks throughout the human body. With increasing age the circadian clock in humans and other mammals becomes increasingly disorganized leading to a large number of more or less well-categorized problems. While a lot of aging research has focused on the peripheral clocks in tissues across organisms, it remains a paramount task to quantify aging of the most important master clock, the human SCN. Furthermore, a pipeline needs to be developed with therapies to mitigate the systemic cellular circadian dysfunction in the elderly and ultimately repair and reverse aging of the SCN itself. A disease classification for the aging SCN, Circadian Clock Neuronal Senile Atrophy (CIRCLONSA syndrome), would improve research funding and goal-oriented biotechnological entrepreneurship.
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Intelligent automated drug administration and therapy: future of healthcare. Drug Deliv Transl Res 2021; 11:1878-1902. [PMID: 33447941 DOI: 10.1007/s13346-020-00876-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2020] [Indexed: 12/13/2022]
Abstract
In the twenty-first century, the collaboration of control engineering and the healthcare sector has matured to some extent; however, the future will have promising opportunities, vast applications, and some challenges. Due to advancements in processing speed, the closed-loop administration of drugs has gained popularity for critically ill patients in intensive care units and routine life such as personalized drug delivery or implantable therapeutic devices. For developing a closed-loop drug delivery system, the control system works with a group of technologies like sensors, micromachining, wireless technologies, and pharmaceuticals. Recently, the integration of artificial intelligence techniques such as fuzzy logic, neural network, and reinforcement learning with the closed-loop drug delivery systems has brought their applications closer to fully intelligent automatic healthcare systems. This review's main objectives are to discuss the current developments, possibilities, and future visions in closed-loop drug delivery systems, for providing treatment to patients suffering from chronic diseases. It summarizes the present insight of closed-loop drug delivery/therapy for diabetes, gastrointestinal tract disease, cancer, anesthesia administration, cardiac ailments, and neurological disorders, from a perspective to show the research in the area of control theory.
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24
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Krizek J, De Goumoëns F, Delrot P, Moser C. Needle-free delivery of fluids from compact laser-based jet injector. LAB ON A CHIP 2020; 20:3784-3791. [PMID: 32902554 DOI: 10.1039/d0lc00646g] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Jet injection devices have been studied and developed for transdermal drug delivery to avoid the use of needles. Due to bulky actuation mechanisms, they are limited to body areas that are easy to reach such as skin. Here, we demonstrate a thin and long liquid delivery system (e.g. flexible and 30 cm long with 1.2 mm outer diameter) compatible with minimally invasive surgical procedures. The actuation mechanism is based on optical cavitation in a capillary nozzle where a laser pulse is delivered via a multimode optical fibre. We show good controllability of the jet speed by varying the actuation laser fluence. The generated jets can successfully penetrate into a 1% agarose gel which is representative of the mechanical properties of several soft body tissues. We further observe that when the system is used in a low laser energy regime (<60 μJ), the ejection is in the form of the single droplet which is promising for fluid delivery with high volume precision or drop-on-demand inkjet printing. The jet injection system we propose has the potential to deliver heat-sensitive therapeutics as we show processing of biomolecules without altering their functionality.
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Affiliation(s)
- Jan Krizek
- School of Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), Station 17, 1015 Lausanne, Switzerland.
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25
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Kaynak M, Dirix P, Sakar MS. Addressable Acoustic Actuation of 3D Printed Soft Robotic Microsystems. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:2001120. [PMID: 33101852 PMCID: PMC7578873 DOI: 10.1002/advs.202001120] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/30/2020] [Indexed: 05/30/2023]
Abstract
A design, manufacturing, and control methodology is presented for the transduction of ultrasound into frequency-selective actuation of multibody hydrogel mechanical systems. The modular design of compliant mechanisms is compatible with direct laser writing and the multiple degrees of freedom actuation scheme does not require incorporation of any specific material such as air bubbles. These features pave the way for the development of active scaffolds and soft robotic microsystems from biomaterials with tailored performance and functionality. Finite element analysis and computational fluid dynamics are used to quantitatively predict the performance of acoustically powered hydrogels immersed in fluid and guide the design process. The outcome is the remotely controlled operation of a repertoire of untethered biomanipulation tools including monolithic compound micromachinery with multiple pumps connected to various functional devices. The potential of the presented technology for minimally invasive diagnosis and targeted therapy is demonstrated by a soft microrobot that can on-demand collect, encapsulate, and process microscopic samples.
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Affiliation(s)
- Murat Kaynak
- Institute of Mechanical EngineeringEcole Polytechnique Fédérale de LausanneLausanneCH‐1015Switzerland
| | - Pietro Dirix
- Institute of Mechanical EngineeringEcole Polytechnique Fédérale de LausanneLausanneCH‐1015Switzerland
| | - Mahmut Selman Sakar
- Institute of Mechanical EngineeringEcole Polytechnique Fédérale de LausanneLausanneCH‐1015Switzerland
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26
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Raman R, Rousseau EB, Wade M, Tong A, Cotler MJ, Kuang J, Lugo AA, Zhang E, Graybiel AM, White FM, Langer R, Cima MJ. Platform for micro-invasive membrane-free biochemical sampling of brain interstitial fluid. SCIENCE ADVANCES 2020; 6:eabb0657. [PMID: 32978160 PMCID: PMC7518871 DOI: 10.1126/sciadv.abb0657] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 08/11/2020] [Indexed: 05/11/2023]
Abstract
Neurochemical dysregulation underlies many pathologies and can be monitored by measuring the composition of brain interstitial fluid (ISF). Existing in vivo tools for sampling ISF do not enable measuring large rare molecules, such as proteins and neuropeptides, and thus cannot generate a complete picture of the neurochemical connectome. Our micro-invasive platform, composed of a nanofluidic pump coupled to a membrane-free probe, enables sampling multiple neural biomarkers in parallel. This platform outperforms the state of the art in low-flow pumps by offering low volume control (single stroke volumes, <3 nl) and bidirectional fluid flow (<100 nl/min) with negligible dead volume (<30 nl) and has been validated in vitro, ex vivo, and in vivo in rodents. ISF samples (<1.5 μL) can be processed via liquid chromatography-tandem mass spectrometry. These label-free liquid biopsies of the brain could yield a deeper understanding of the onset, mechanism, and progression of diverse neural pathologies.
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Affiliation(s)
- Ritu Raman
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Erin B Rousseau
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Michael Wade
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Allison Tong
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Max J Cotler
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jenevieve Kuang
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alejandro Aponte Lugo
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Elizabeth Zhang
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ann M Graybiel
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Forest M White
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Robert Langer
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Michael J Cima
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
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27
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Ramadi KB, Dagdeviren C, Bhagchandani P, Nunez-Lopez C, Kim MJ, Langer R, Graybiel AM, Cima MJ. Simultaneous recording and marking of brain microstructures. J Neural Eng 2020; 17:044001. [PMID: 32604074 DOI: 10.1088/1741-2552/aba161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The vast majority of techniques to study the physiology of the nervous system involve inserting probes into the brain for stimulation, recording, or sampling. Research is increasingly uncovering the fine microstructure of the brain, each of its regions with dedicated functions. Accurate knowledge of the placement of probes interrogating these regions is critical. We have developed a customizable concentric marking electrode (CME) consisting of an iron core within a 125 μm-stainless steel (SS) sheath for co-localization of targeted regions in the brain. We used a dielectric layer stack of SiO2, Al2O3, SiO2 to electrically encapsulate the iron core and minimize exposure area to avoid significant increases in inflammatory response triggered by the probes. The CME can record multi-neuronal extracellular firing patterns. Appropriate electrical polarity of the iron and SS components controls the deposition of iron microdeposits on brain tissue. We show that in vivo labels by this method can be as small as 100 μm, visible via noninvasive magnetic resonance imaging (MRI) as well as post-mortem histology, and illustrate how deposit size can be tuned by varying stimulus parameters. We targeted the CA3 area of the hippocampus in adult rats and demonstrate that iron microdeposits are remarkably stable and persist up to 10 months post-deposition. Using a single probe for recording and marking avoids inaccuracies with re-insertion of separate probes and utilizes iron microdeposits as valuable fiducial markers in vivo and ex vivo.
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Affiliation(s)
- Khalil B Ramadi
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, United States of America. Harvard-MIT Health Sciences and Technology Division, Massachusetts Institute of Technology, Cambridge, MA 02139, United States of America. These authors contributed equally to this work
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28
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Computationally Guided Intracerebral Drug Delivery via Chronically Implanted Microdevices. Cell Rep 2020; 31:107734. [PMID: 32521259 DOI: 10.1016/j.celrep.2020.107734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/24/2020] [Accepted: 05/13/2020] [Indexed: 11/21/2022] Open
Abstract
Treatments for neurologic diseases are often limited in efficacy due to poor spatial and temporal control over their delivery. Intracerebral delivery partially overcomes this by directly infusing therapeutics to the brain. Brain structures, however, are nonuniform and irregularly shaped, precluding complete target coverage by a single bolus without significant off-target effects and possible toxicity. Nearly complete coverage is crucial for effective modulation of these structures. We present a framework with computational mapping algorithms for neural drug delivery (COMMAND) to guide multi-bolus targeting of brain structures that maximizes coverage and minimizes off-target leakage. Custom-fabricated chronic neural implants leverage rational fluidic design to achieve multi-bolus delivery in rodents through a single infusion of radioactive tracer (Cu-64). The resulting spatial distributions replicate computed spatial coverage with 5% error in vivo, as detected by positron emission tomography. COMMAND potentially enables accurate, efficacious targeting of discrete brain regions.
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29
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Jung YH, Kim JU, Lee JS, Shin JH, Jung W, Ok J, Kim TI. Injectable Biomedical Devices for Sensing and Stimulating Internal Body Organs. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2020; 32:e1907478. [PMID: 32104960 DOI: 10.1002/adma.201907478] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 01/15/2020] [Indexed: 06/10/2023]
Abstract
The rapid pace of progress in implantable electronics driven by novel technology has created devices with unconventional designs and features to reduce invasiveness and establish new sensing and stimulating techniques. Among the designs, injectable forms of biomedical electronics are explored for accurate and safe targeting of deep-seated body organs. Here, the classes of biomedical electronics and tools that have high aspect ratio structures designed to be injected or inserted into internal organs for minimally invasive monitoring and therapy are reviewed. Compared with devices in bulky or planar formats, the long shaft-like forms of implantable devices are easily placed in the organs with minimized outward protrusions via injection or insertion processes. Adding flexibility to the devices also enables effortless insertions through complex biological cavities, such as the cochlea, and enhances chronic reliability by complying with natural body movements, such as the heartbeat. Diverse types of such injectable implants developed for different organs are reviewed and the electronic, optoelectronic, piezoelectric, and microfluidic devices that enable stimulations and measurements of site-specific regions in the body are discussed. Noninvasive penetration strategies to deliver the miniscule devices are also considered. Finally, the challenges and future directions associated with deep body biomedical electronics are explained.
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Affiliation(s)
- Yei Hwan Jung
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Jong Uk Kim
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Ju Seung Lee
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Joo Hwan Shin
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Woojin Jung
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Jehyung Ok
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Tae-Il Kim
- School of Chemical Engineering, Department of Biomedical Engineering, and Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
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30
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Schiavone G, Fallegger F, Kang X, Barra B, Vachicouras N, Roussinova E, Furfaro I, Jiguet S, Seáñez I, Borgognon S, Rowald A, Li Q, Qin C, Bézard E, Bloch J, Courtine G, Capogrosso M, Lacour SP. Soft, Implantable Bioelectronic Interfaces for Translational Research. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2020; 32:e1906512. [PMID: 32173913 DOI: 10.1002/adma.201906512] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 12/19/2019] [Indexed: 06/10/2023]
Abstract
The convergence of materials science, electronics, and biology, namely bioelectronic interfaces, leads novel and precise communication with biological tissue, particularly with the nervous system. However, the translation of lab-based innovation toward clinical use calls for further advances in materials, manufacturing and characterization paradigms, and design rules. Herein, a translational framework engineered to accelerate the deployment of microfabricated interfaces for translational research is proposed and applied to the soft neurotechnology called electronic dura mater, e-dura. Anatomy, implant function, and surgical procedure guide the system design. A high-yield, silicone-on-silicon wafer process is developed to ensure reproducible characteristics of the electrodes. A biomimetic multimodal platform that replicates surgical insertion in an anatomy-based model applies physiological movement, emulates therapeutic use of the electrodes, and enables advanced validation and rapid optimization in vitro of the implants. Functionality of scaled e-dura is confirmed in nonhuman primates, where epidural neuromodulation of the spinal cord activates selective groups of muscles in the upper limbs with unmet precision. Performance stability is controlled over 6 weeks in vivo. The synergistic steps of design, fabrication, and biomimetic in vitro validation and in vivo evaluation in translational animal models are of general applicability and answer needs in multiple bioelectronic designs and medical technologies.
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Affiliation(s)
- Giuseppe Schiavone
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
| | - Florian Fallegger
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
| | - Xiaoyang Kang
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
| | - Beatrice Barra
- Department of Neuroscience and Movement Science, University of Fribourg, Fribourg, 1700, Switzerland
| | - Nicolas Vachicouras
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
| | - Evgenia Roussinova
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
| | - Ivan Furfaro
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
| | - Sébastien Jiguet
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
| | - Ismael Seáñez
- Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Simon Borgognon
- Department of Neuroscience and Movement Science, University of Fribourg, Fribourg, 1700, Switzerland
- Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Andreas Rowald
- Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Qin Li
- Institute of Lab Animal Sciences, China Academy of Medical Sciences, Beijing, 100021, China
- Motac Neuroscience Ltd, Manchester, SK10 4TF, UK
| | - Chuan Qin
- Institute of Lab Animal Sciences, China Academy of Medical Sciences, Beijing, 100021, China
| | - Erwan Bézard
- Institute of Lab Animal Sciences, China Academy of Medical Sciences, Beijing, 100021, China
- Motac Neuroscience Ltd, Manchester, SK10 4TF, UK
- Institut des Maladies Neurodégénératives, University of Bordeaux, Bordeaux, UMR 5293, France
- CNRS, Institut des Maladies Neurodégénératives, Bordeaux, UMR 5293, France
| | - Jocelyne Bloch
- Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), Department of Neurosurgery, University Hospital of Lausanne (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Grégoire Courtine
- Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), Department of Neurosurgery, University Hospital of Lausanne (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Marco Capogrosso
- Department of Neuroscience and Movement Science, University of Fribourg, Fribourg, 1700, Switzerland
| | - Stéphanie P Lacour
- Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronics Interface, Institute of Microengineering, Institute of Bioengineering, Centre for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, 1202, Switzerland
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31
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32
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Obidin N, Tasnim F, Dagdeviren C. The Future of Neuroimplantable Devices: A Materials Science and Regulatory Perspective. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2020; 32:e1901482. [PMID: 31206827 DOI: 10.1002/adma.201901482] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 04/12/2019] [Indexed: 06/09/2023]
Abstract
The past two decades have seen unprecedented progress in the development of novel materials, form factors, and functionalities in neuroimplantable technologies, including electrocorticography (ECoG) systems, multielectrode arrays (MEAs), Stentrode, and deep brain probes. The key considerations for the development of such devices intended for acute implantation and chronic use, from the perspective of biocompatible hybrid materials incorporation, conformable device design, implantation procedures, and mechanical and biological risk factors, are highlighted. These topics are connected with the role that the U.S. Food and Drug Administration (FDA) plays in its regulation of neuroimplantable technologies based on the above parameters. Existing neuroimplantable devices and efforts to improve their materials and implantation protocols are first discussed in detail. The effects of device implantation with regards to biocompatibility and brain heterogeneity are then explored. Topics examined include brain-specific risk factors, such as bacterial infection, tissue scarring, inflammation, and vasculature damage, as well as efforts to manage these dangers through emerging hybrid, bioelectronic device architectures. The current challenges of gaining clinical approval by the FDA-in particular, with regards to biological, mechanical, and materials risk factors-are summarized. The available regulatory pathways to accelerate next-generation neuroimplantable devices to market are then discussed.
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Affiliation(s)
- Nikita Obidin
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Farita Tasnim
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Canan Dagdeviren
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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33
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Audette MA, Bordas SPA, Blatt JE. Robotically Steered Needles: A Survey of Neurosurgical Applications and Technical Innovations. ROBOTIC SURGERY : RESEARCH AND REVIEWS 2020; 7:1-23. [PMID: 32258180 PMCID: PMC7090177 DOI: 10.2147/rsrr.s224446] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 12/10/2019] [Indexed: 11/23/2022]
Abstract
This paper surveys both the clinical applications and main technical innovations related to steered needles, with an emphasis on neurosurgery. Technical innovations generally center on curvilinear robots that can adopt a complex path that circumvents critical structures and eloquent brain tissue. These advances include several needle-steering approaches, which consist of tip-based, lengthwise, base motion-driven, and tissue-centered steering strategies. This paper also describes foundational mathematical models for steering, where potential fields, nonholonomic bicycle-like models, spring models, and stochastic approaches are cited. In addition, practical path planning systems are also addressed, where we cite uncertainty modeling in path planning, intraoperative soft tissue shift estimation through imaging scans acquired during the procedure, and simulation-based prediction. Neurosurgical scenarios tend to emphasize straight needles so far, and span deep-brain stimulation (DBS), stereoelectroencephalography (SEEG), intracerebral drug delivery (IDD), stereotactic brain biopsy (SBB), stereotactic needle aspiration for hematoma, cysts and abscesses, and brachytherapy as well as thermal ablation of brain tumors and seizure-generating regions. We emphasize therapeutic considerations and complications that have been documented in conjunction with these applications.
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Affiliation(s)
- Michel A Audette
- Department of Computational Modeling and Simulation Engineering, Old Dominion University, Norfolk, VA, USA
| | - Stéphane P A Bordas
- Institute of Computational Engineering, University of Luxembourg, Faculty of Sciences Communication and Technology, Esch-Sur-Alzette, Luxembourg
| | - Jason E Blatt
- Department of Neurosurgery, University of Florida, Gainesville, FL, USA
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34
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Chen K, Lam S, Kozai TDY. What directions of improvements in electrode designs should we expect in the next 5-10 years? BIOELECTRONICS IN MEDICINE 2019; 2:119-122. [PMID: 32440363 PMCID: PMC7226723 DOI: 10.2217/bem-2019-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Accepted: 12/11/2019] [Indexed: 11/21/2022]
Affiliation(s)
- Keying Chen
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh & Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Stephanie Lam
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh & Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Takashi DY Kozai
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh & Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15260, USA
- McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA
- NeuroTech Center, University of Pittsburgh Brain Institute, Pittsburgh, PA 15260, USA
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35
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Zhang Y, Castro DC, Han Y, Wu Y, Guo H, Weng Z, Xue Y, Ausra J, Wang X, Li R, Wu G, Vázquez-Guardado A, Xie Y, Xie Z, Ostojich D, Peng D, Sun R, Wang B, Yu Y, Leshock JP, Qu S, Su CJ, Shen W, Hang T, Banks A, Huang Y, Radulovic J, Gutruf P, Bruchas MR, Rogers JA. Battery-free, lightweight, injectable microsystem for in vivo wireless pharmacology and optogenetics. Proc Natl Acad Sci U S A 2019; 116:21427-21437. [PMID: 31601737 PMCID: PMC6815115 DOI: 10.1073/pnas.1909850116] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Pharmacology and optogenetics are widely used in neuroscience research to study the central and peripheral nervous systems. While both approaches allow for sophisticated studies of neural circuitry, continued advances are, in part, hampered by technology limitations associated with requirements for physical tethers that connect external equipment to rigid probes inserted into delicate regions of the brain. The results can lead to tissue damage and alterations in behavioral tasks and natural movements, with additional difficulties in use for studies that involve social interactions and/or motions in complex 3-dimensional environments. These disadvantages are particularly pronounced in research that demands combined optogenetic and pharmacological functions in a single experiment. Here, we present a lightweight, wireless, battery-free injectable microsystem that combines soft microfluidic and microscale inorganic light-emitting diode probes for programmable pharmacology and optogenetics, designed to offer the features of drug refillability and adjustable flow rates, together with programmable control over the temporal profiles. The technology has potential for large-scale manufacturing and broad distribution to the neuroscience community, with capabilities in targeting specific neuronal populations in freely moving animals. In addition, the same platform can easily be adapted for a wide range of other types of passive or active electronic functions, including electrical stimulation.
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Affiliation(s)
- Yi Zhang
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Daniel C Castro
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195
| | - Yuan Han
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL 60611
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, 200031 Shanghai, China
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, 221004 Xuzhou, China
| | - Yixin Wu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Hexia Guo
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Zhengyan Weng
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211
| | - Yeguang Xue
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
| | - Jokubas Ausra
- Biomedical Engineering, College of Engineering, The University of Arizona, Tucson, AZ 85721
| | - Xueju Wang
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211
| | - Rui Li
- State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, 116024 Dalian, China
- International Research Center for Computational Mechanics, Dalian University of Technology, 116024 Dalian, China
| | - Guangfu Wu
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211
| | | | - Yiwen Xie
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Zhaoqian Xie
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
- State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, 116024 Dalian, China
| | - Diana Ostojich
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Dongsheng Peng
- College of Optoelectronic Engineering, Shenzhen University, 518060 Shenzhen, China
| | - Rujie Sun
- Bristol Composites Institute, University of Bristol, BS8 1TR Bristol, United Kingdom
| | - Binbin Wang
- Department of Civil and Environmental Engineering, University of Missouri, Columbia, MO 65211
| | | | - John P Leshock
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Subing Qu
- Department of Materials Science and Engineering, Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Chun-Ju Su
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Wen Shen
- Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019
| | - Tao Hang
- School of Materials Science and Engineering, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Anthony Banks
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Yonggang Huang
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
| | - Jelena Radulovic
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL 60611
| | - Philipp Gutruf
- Biomedical Engineering, College of Engineering, The University of Arizona, Tucson, AZ 85721;
| | - Michael R Bruchas
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195;
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195
- Department of Pharmacology, University of Washington, Seattle, WA 98195
| | - John A Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208;
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Simpson Querrey Institute, Northwestern University, Chicago, IL 60611
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208
- Department of Chemistry, Northwestern University, Evanston, IL 60208
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
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Rao S, Chen R, LaRocca AA, Christiansen MG, Senko AW, Shi CH, Chiang PH, Varnavides G, Xue J, Zhou Y, Park S, Ding R, Moon J, Feng G, Anikeeva P. Remotely controlled chemomagnetic modulation of targeted neural circuits. NATURE NANOTECHNOLOGY 2019; 14:967-973. [PMID: 31427746 PMCID: PMC6778020 DOI: 10.1038/s41565-019-0521-z] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 07/03/2019] [Indexed: 05/20/2023]
Abstract
Connecting neural circuit output to behaviour can be facilitated by the precise chemical manipulation of specific cell populations1,2. Engineered receptors exclusively activated by designer small molecules enable manipulation of specific neural pathways3,4. However, their application to studies of behaviour has thus far been hampered by a trade-off between the low temporal resolution of systemic injection versus the invasiveness of implanted cannulae or infusion pumps2. Here, we developed a remotely controlled chemomagnetic modulation-a nanomaterials-based technique that permits the pharmacological interrogation of targeted neural populations in freely moving subjects. The heat dissipated by magnetic nanoparticles (MNPs) in the presence of alternating magnetic fields (AMFs) triggers small-molecule release from thermally sensitive lipid vesicles with a 20 s latency. Coupled with the chemogenetic activation of engineered receptors, this technique permits the control of specific neurons with temporal and spatial precision. The delivery of chemomagnetic particles to the ventral tegmental area (VTA) allows the remote modulation of motivated behaviour in mice. Furthermore, this chemomagnetic approach activates endogenous circuits by enabling the regulated release of receptor ligands. Applied to an endogenous dopamine receptor D1 (DRD1) agonist in the nucleus accumbens (NAc), a brain area involved in mediating social interactions, chemomagnetic modulation increases sociability in mice. By offering a temporally precise control of specified ligand-receptor interactions in neurons, this approach may facilitate molecular neuroscience studies in behaving organisms.
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Affiliation(s)
- Siyuan Rao
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Simons Center for Social Brain, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ritchie Chen
- Simons Center for Social Brain, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Ava A LaRocca
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Michael G Christiansen
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Health Sciences and Technology at the Swiss Federal Institute of Technology in Zürich (ETHZ), Zürich, Switzerland
| | - Alexander W Senko
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Cindy H Shi
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Po-Han Chiang
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Georgios Varnavides
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Jian Xue
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yang Zhou
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Seongjun Park
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ruihua Ding
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Junsang Moon
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Polina Anikeeva
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
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37
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Ramadi KB, Cima MJ. Materials and Devices for Micro-invasive Neural Interfacing. ACTA ACUST UNITED AC 2019. [DOI: 10.1557/adv.2019.424] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Frank JA, Antonini MJ, Anikeeva P. Next-generation interfaces for studying neural function. Nat Biotechnol 2019; 37:1013-1023. [PMID: 31406326 PMCID: PMC7243676 DOI: 10.1038/s41587-019-0198-8] [Citation(s) in RCA: 107] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 06/26/2019] [Indexed: 01/06/2023]
Abstract
Monitoring and modulating the diversity of signals used by neurons and glia in a closed-loop fashion is necessary to establish causative links between biochemical processes within the nervous system and observed behaviors. As developments in neural-interface hardware strive to keep pace with rapid progress in genetically encoded and synthetic reporters and modulators of neural activity, the integration of multiple functional features becomes a key requirement and a pressing challenge in the field of neural engineering. Electrical, optical and chemical approaches have been used to manipulate and record neuronal activity in vivo, with a recent focus on technologies that both integrate multiple modes of interaction with neurons into a single device and enable bidirectional communication with neural circuits with enhanced spatiotemporal precision. These technologies not only are facilitating a greater understanding of the brain, spinal cord and peripheral circuits in the context of health and disease, but also are informing the development of future closed-loop therapies for neurological, neuro-immune and neuroendocrine conditions.
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Affiliation(s)
- James A Frank
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Marc-Joseph Antonini
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard/MIT Health Science & Technology Graduate Program, Cambridge, MA, USA
| | - Polina Anikeeva
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Material Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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39
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Cotler MJ, Rousseau EB, Ramadi KB, Fang J, Graybiel AM, Langer R, Cima MJ. Steerable Microinvasive Probes for Localized Drug Delivery to Deep Tissue. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2019; 15:e1901459. [PMID: 31183933 DOI: 10.1002/smll.201901459] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 04/25/2019] [Indexed: 06/09/2023]
Abstract
Enhanced understanding of neuropathologies has created a need for more advanced tools. Current neural implants result in extensive glial scarring and are not able to highly localize drug delivery due to their size. Smaller implants reduce surgical trauma and improve spatial resolution, but such a reduction requires improvements in device design to enable accurate and chronic implantation in subcortical structures. Flexible needle steering techniques offer improved control over implant placement, but often require complex closed-loop control for accurate implantation. This study reports the development of steerable microinvasive neural implants (S-MINIs) constructed from borosilicate capillaries (OD = 60 µm, ID = 20 µm) that do not require closed-loop guidance or guide tubes. S-MINIs reduce glial scarring 3.5-fold compared to prior implants. Bevel steered needles are utilized for open-loop targeting of deep-brain structures. This study demonstrates a sinusoidal relationship between implant bevel angle and the trajectory radius of curvature both in vitro and ex vivo. This relationship allows for bevel-tipped capillaries to be steered to a target with an average error of 0.23 mm ± 0.19 without closed-loop control. Polished microcapillaries present a new microinvasive tool for chronic, predictable targeting of pathophysiological structures without the need for closed-loop feedback and complex imaging.
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Affiliation(s)
- Max J Cotler
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Erin B Rousseau
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Khalil B Ramadi
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Joshua Fang
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Ann M Graybiel
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Robert Langer
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Michael J Cima
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
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40
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Qazi R, Gomez AM, Castro DC, Zou Z, Sim JY, Xiong Y, Abdo J, Kim CY, Anderson A, Lohner F, Byun SH, Chul Lee B, Jang KI, Xiao J, Bruchas MR, Jeong JW. Wireless optofluidic brain probes for chronic neuropharmacology and photostimulation. Nat Biomed Eng 2019; 3:655-669. [DOI: 10.1038/s41551-019-0432-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 06/21/2019] [Indexed: 12/11/2022]
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Zhang Y, Mickle AD, Gutruf P, McIlvried LA, Guo H, Wu Y, Golden JP, Xue Y, Grajales-Reyes JG, Wang X, Krishnan S, Xie Y, Peng D, Su CJ, Zhang F, Reeder JT, Vogt SK, Huang Y, Rogers JA, Gereau RW. Battery-free, fully implantable optofluidic cuff system for wireless optogenetic and pharmacological neuromodulation of peripheral nerves. SCIENCE ADVANCES 2019; 5:eaaw5296. [PMID: 31281895 PMCID: PMC6611690 DOI: 10.1126/sciadv.aaw5296] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 05/29/2019] [Indexed: 05/14/2023]
Abstract
Studies of the peripheral nervous system rely on controlled manipulation of neuronal function with pharmacologic and/or optogenetic techniques. Traditional hardware for these purposes can cause notable damage to fragile nerve tissues, create irritation at the biotic/abiotic interface, and alter the natural behaviors of animals. Here, we present a wireless, battery-free device that integrates a microscale inorganic light-emitting diode and an ultralow-power microfluidic system with an electrochemical pumping mechanism in a soft platform that can be mounted onto target peripheral nerves for programmed delivery of light and/or pharmacological agents in freely moving animals. Biocompliant designs lead to minimal effects on overall nerve health and function, even with chronic use in vivo. The small size and light weight construction allow for deployment as fully implantable devices in mice. These features create opportunities for studies of the peripheral nervous system outside of the scope of those possible with existing technologies.
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Affiliation(s)
- Yi Zhang
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Aaron D. Mickle
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO 63110, USA
- Washington University School of Medicine, 660 S. Euclid Ave., Box 8054, St. Louis, MO 63110, USA
| | - Philipp Gutruf
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Biomedical Engineering, College of Engineering, The University of Arizona, Bioscience Research Laboratories, 1230 N. Cherry Ave., Tucson, AZ 85721, USA
| | - Lisa A. McIlvried
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO 63110, USA
- Washington University School of Medicine, 660 S. Euclid Ave., Box 8054, St. Louis, MO 63110, USA
| | - Hexia Guo
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Yixin Wu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Judith P. Golden
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO 63110, USA
- Washington University School of Medicine, 660 S. Euclid Ave., Box 8054, St. Louis, MO 63110, USA
| | - Yeguang Xue
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Jose G. Grajales-Reyes
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO 63110, USA
- Washington University School of Medicine, 660 S. Euclid Ave., Box 8054, St. Louis, MO 63110, USA
| | - Xueju Wang
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA
| | - Siddharth Krishnan
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Yiwen Xie
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Dongsheng Peng
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Chun-Ju Su
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Fengyi Zhang
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA
| | - Jonathan T. Reeder
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Sherri K. Vogt
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO 63110, USA
- Washington University School of Medicine, 660 S. Euclid Ave., Box 8054, St. Louis, MO 63110, USA
| | - Yonggang Huang
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - John A. Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Simpson Querrey Institute, Northwestern University, Chicago, IL 60611, USA
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
- Corresponding author. (J.A.R.); (R.W.G.)
| | - Robert W. Gereau
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO 63110, USA
- Washington University School of Medicine, 660 S. Euclid Ave., Box 8054, St. Louis, MO 63110, USA
- Departments of Neuroscience and Biomedical Engineering, Washington University, St. Louis, MO 63110, USA
- Corresponding author. (J.A.R.); (R.W.G.)
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Li J, Wu S, Kim E, Yan K, Liu H, Liu C, Dong H, Qu X, Shi X, Shen J, Bentley WE, Payne GF. Electrobiofabrication: electrically based fabrication with biologically derived materials. Biofabrication 2019; 11:032002. [PMID: 30759423 PMCID: PMC7025432 DOI: 10.1088/1758-5090/ab06ea] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
While conventional material fabrication methods focus on form and strength to achieve function, the fabrication of material systems for emerging life science applications will need to satisfy a more subtle set of requirements. A common goal for biofabrication is to recapitulate complex biological contexts (e.g. tissue) for applications that range from animal-on-a-chip to regenerative medicine. In these cases, the material systems will need to: (i) present appropriate surface functionalities over a hierarchy of length scales (e.g. molecular features that enable cell adhesion and topographical features that guide differentiation); (ii) provide a suite of mechanobiological cues that promote the emergence of native-like tissue form and function; and (iii) organize structure to control cellular ingress and molecular transport, to enable the development of an interconnected cellular community that is engaged in cell signaling. And these requirements are not likely to be static but will vary over time and space, which will require capabilities of the material systems to dynamically respond, adapt, heal and reconfigure. Here, we review recent advances in the use of electrically based fabrication methods to build material systems from biological macromolecules (e.g. chitosan, alginate, collagen and silk). Electrical signals are especially convenient for fabrication because they can be controllably imposed to promote the electrophoresis, alignment, self-assembly and functionalization of macromolecules to generate hierarchically organized material systems. Importantly, this electrically based fabrication with biologically derived materials (i.e. electrobiofabrication) is complementary to existing methods (photolithographic and printing), and enables access to the biotechnology toolbox (e.g. enzymatic-assembly and protein engineering, and gene expression) to offer exquisite control of structure and function. We envision that electrobiofabrication will emerge as an important platform technology for organizing soft matter into dynamic material systems that mimic biology's complexity of structure and versatility of function.
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Affiliation(s)
- Jinyang Li
- Institute for Bioscience and Biotechnology Research, University of Maryland, College Park, United States of America
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Kerstetter-Fogle A, Shukla S, Wang C, Beiss V, Harris PLR, Sloan AE, Steinmetz NF. Plant Virus-Like Particle In Situ Vaccine for Intracranial Glioma Immunotherapy. Cancers (Basel) 2019; 11:cancers11040515. [PMID: 30974896 PMCID: PMC6521079 DOI: 10.3390/cancers11040515] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 04/08/2019] [Accepted: 04/08/2019] [Indexed: 02/07/2023] Open
Abstract
Despite aggressive multi-modality treatment with surgery, radiation and chemotherapies, malignant glioma inevitably recurs and has dismal survival rates. Recent progress in immunotherapy has led to a resurgence of interest, and immunotherapies are being investigated for treatment of glioma. However, the unique brain anatomy and a highly immunosuppressive glioma microenvironment pose significant challenges to achieving efficacy. Thus, there is a critical need for assessment of next-generation immunotherapies for glioma. In this study, we have investigated the efficacy of the nanoparticle platform technology based on plant-derived Cowpea mosaic virus like particles (empty CPMV or eCPMV) to instigate a potent immune response against intracranial glioma. CPMV immunotherapy has been shown to efficiently reverse the immunosuppressive tumor microenvironments in pre-clinical murine models of dermal melanoma and metastatic melanoma, metastatic breast cancer, intraperitoneal ovarian cancer and in canine patients with oral melanoma. In the present study, we demonstrate that in situ administration of CPMV immunotherapy in the setting of glioma can effectively recruit unique subset of effector innate and adaptive immune cells to the brain parenchyma while reducing immune suppressive cellular population, leading to regression of intracranial glioma. The in situ CPMV nanoparticle vaccine offers a potent yet safe and localized immunotherapy for intracranial glioma.
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Affiliation(s)
- Amber Kerstetter-Fogle
- Department of Neurological Surgery, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
| | - Sourabh Shukla
- Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA.
| | - Chao Wang
- Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA.
| | - Veronique Beiss
- Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA.
| | - Peggy L R Harris
- Department of Neurological Surgery, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
| | - Andrew E Sloan
- Department of Neurological Surgery, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
- University Hospitals-Cleveland Medical Center & the Seidman Cancer Center, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
- Case Comprehensive Cancer Center, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
| | - Nicole F Steinmetz
- Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA.
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA.
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44
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Chen JC, Li LM, Gao JQ. Biomaterials for local drug delivery in central nervous system. Int J Pharm 2019; 560:92-100. [DOI: 10.1016/j.ijpharm.2019.01.071] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/20/2019] [Accepted: 01/31/2019] [Indexed: 01/07/2023]
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45
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Ashammakhi N, Ahadian S, Darabi MA, El Tahchi M, Lee J, Suthiwanich K, Sheikhi A, Dokmeci MR, Oklu R, Khademhosseini A. Minimally Invasive and Regenerative Therapeutics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2019; 31:e1804041. [PMID: 30565732 PMCID: PMC6709364 DOI: 10.1002/adma.201804041] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 08/20/2018] [Indexed: 05/03/2023]
Abstract
Advances in biomaterial synthesis and fabrication, stem cell biology, bioimaging, microsurgery procedures, and microscale technologies have made minimally invasive therapeutics a viable tool in regenerative medicine. Therapeutics, herein defined as cells, biomaterials, biomolecules, and their combinations, can be delivered in a minimally invasive way to regenerate different tissues in the body, such as bone, cartilage, pancreas, cardiac, skeletal muscle, liver, skin, and neural tissues. Sophisticated methods of tracking, sensing, and stimulation of therapeutics in vivo using nano-biomaterials and soft bioelectronic devices provide great opportunities to further develop minimally invasive and regenerative therapeutics (MIRET). In general, minimally invasive delivery methods offer high yield with low risk of complications and reduced costs compared to conventional delivery methods. Here, minimally invasive approaches for delivering regenerative therapeutics into the body are reviewed. The use of MIRET to treat different tissues and organs is described. Although some clinical trials have been performed using MIRET, it is hoped that such therapeutics find wider applications to treat patients. Finally, some future perspective and challenges for this emerging field are highlighted.
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Affiliation(s)
- Nureddin Ashammakhi
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
- Division of Plastic Surgery, Department of Surgery, Oulu University, Oulu, Finland
| | - Samad Ahadian
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
| | - Mohammad Ali Darabi
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
| | - Mario El Tahchi
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
- LBMI, Department of Physics, Lebanese University - Faculty of Sciences 2, PO Box 90656, Jdeidet, Lebanon
| | - Junmin Lee
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
| | - Kasinan Suthiwanich
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
- Department of Materials Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Amir Sheikhi
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
| | - Mehmet R. Dokmeci
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
| | - Rahmi Oklu
- Division of Interventional Radiology, Department of Radiology, Mayo Clinic, Scottsdale, USA
| | - Ali Khademhosseini
- Center for Minimally Invasive Therapeutics (C-MIT), University of California - Los Angeles, Los Angeles, California, USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, California, USA
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, California, USA
- Department of Radiological Sciences, University of California - Los Angeles, Los Angeles, California, USA
- Department of Chemical and Biomolecular Engineering, University of California - Los Angeles, Los Angeles, California, USA
- Center of Nanotechnology, Department of Physics, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Bioindustrial Technologies, College of Animal Bioscience and Technology, Konkuk University, Seoul, Republic of Korea
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46
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Kong YL, Zou X, McCandler CA, Kirtane AR, Ning S, Zhou J, Abid A, Jafari M, Rogner J, Minahan D, Collins JE, McDonnell S, Cleveland C, Bensel T, Tamang S, Arrick G, Gimbel A, Hua T, Ghosh U, Soares V, Wang N, Wahane A, Hayward A, Zhang S, Smith BR, Langer R, Traverso G. 3D-Printed Gastric Resident Electronics. ADVANCED MATERIALS TECHNOLOGIES 2018; 4:1800490. [PMID: 32010758 PMCID: PMC6988123 DOI: 10.1002/admt.201800490] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 11/06/2018] [Indexed: 05/20/2023]
Abstract
Long-term implantation of biomedical electronics into the human body enables advanced diagnostic and therapeutic functionalities. However, most long-term resident electronics devices require invasive procedures for implantation as well as a specialized receiver for communication. Here, a gastric resident electronic (GRE) system that leverages the anatomical space offered by the gastric environment to enable residence of an orally delivered platform of such devices within the human body is presented. The GRE is capable of directly interfacing with portable consumer personal electronics through Bluetooth, a widely adopted wireless protocol. In contrast to the passive day-long gastric residence achieved with prior ingestible electronics, advancement in multimaterial prototyping enables the GRE to reside in the hostile gastric environment for a maximum of 36 d and maintain ≈15 d of wireless electronics communications as evidenced by the studies in a porcine model. Indeed, the synergistic integration of reconfigurable gastric-residence structure, drug release modules, and wireless electronics could ultimately enable the next-generation remote diagnostic and automated therapeutic strategies.
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Affiliation(s)
- Yong Lin Kong
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
| | - Xingyu Zou
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Caitlin A. McCandler
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Ameya R. Kirtane
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Shen Ning
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
| | - Jianlin Zhou
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Abubakar Abid
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Mousa Jafari
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Jaimie Rogner
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Daniel Minahan
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Joy E. Collins
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Shane McDonnell
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Cody Cleveland
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Taylor Bensel
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Siid Tamang
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Graham Arrick
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Alla Gimbel
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Tiffany Hua
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Udayan Ghosh
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
| | - Vance Soares
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Nancy Wang
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Aniket Wahane
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Alison Hayward
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Shiyi Zhang
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Brian R. Smith
- Department of Mechanical Engineering University of Utah Salt Lake City, UT 84112, USA
- Boston University School of Medicine 72 E Concord St, Boston, MA 02118, USA
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
- Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA
| | - Robert Langer
- Charles Stark Draper Laboratory Cambridge, MA 02139, USA
| | - Giovanni Traverso
- Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge, MA 02139, USA
- Division of Gastroenterology Brigham and Women’s Hospital Harvard Medical School Boston, MA 02115, USA
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47
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Kumar NN, Pizzo ME, Nehra G, Wilken-Resman B, Boroumand S, Thorne RG. Passive Immunotherapies for Central Nervous System Disorders: Current Delivery Challenges and New Approaches. Bioconjug Chem 2018; 29:3937-3966. [PMID: 30265523 DOI: 10.1021/acs.bioconjchem.8b00548] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Passive immunotherapy, i.e., the administration of exogenous antibodies that recognize a specific target antigen, has gained significant momentum as a potential treatment strategy for several central nervous system (CNS) disorders, including Alzheimer's disease, Parkinson's disease, Huntington's disease, and brain cancer, among others. Advances in antibody engineering to create therapeutic antibody fragments or antibody conjugates have introduced new strategies that may also be applied to treat CNS disorders. However, drug delivery to the CNS for antibodies and other macromolecules has thus far proven challenging, due in large part to the blood-brain barrier and blood-cerebrospinal fluid barriers that greatly restrict transport of peripherally administered molecules from the systemic circulation into the CNS. Here, we summarize the various passive immunotherapy approaches under study for the treatment of CNS disorders, with a primary focus on disease-specific and target site-specific challenges to drug delivery and new, cutting edge methods.
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48
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Lee S, Hwang G, Kim TH, Kwon SJ, Kim JU, Koh K, Park B, Hong H, Yu KJ, Chae H, Jung Y, Lee J, Kim TI. On-Demand Drug Release from Gold Nanoturf for a Thermo- and Chemotherapeutic Esophageal Stent. ACS NANO 2018; 12:6756-6766. [PMID: 29878749 DOI: 10.1021/acsnano.8b01921] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Stimuli-responsive delivery systems for cancer therapy have been increasingly used to promote the on-demand therapeutic efficacy of anticancer drugs and, in some cases, simultaneously generate heat in response to a stimulus, resulting in hyperthermia. However, their application is still limited due to the systemic drawbacks of intravenous delivery, such as rapid clearance from the bloodstream and the repeat injections required for sustained safe dosage, which can cause overdosing. Here, we propose a gold (Au)-coated nanoturf structure as an implantable therapeutic interface for near-infrared (NIR)-mediated on-demand hyperthermia chemotherapy. The Au nanoturf possessed long-lasting doxorubicin (DOX) duration, which helps facilitate drug release in a sustained and prolonged manner. Moreover, the Au-coated nanoturf provides reproducible hyperthermia induced by localized surface plasmon resonances under NIR irradiation. Simultaneously, the NIR-mediated temperature increase can promote on-demand drug release at desired time points. For in vivo analysis, the Au nanoturf structure was applied on an esophageal stent, which needs sustained anticancer treatment to prevent tumor recurrence on the implanted surface. This thermo- and chemo-esophageal stent induced significant cancer cell death with released drug and hyperthermia. These phenomena were also confirmed by theoretical analysis. The proposed strategy provides a solution to achieve enhanced thermo-/chemotherapy and has broad applications in sustained cancer treatments.
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Affiliation(s)
| | - Gyoyeon Hwang
- Division of Bio-Medical Science & Technology , KIST School, Korea University of Science and Technology , Seoul 02792 , Republic of Korea
| | - Tae Hee Kim
- KU-KIST Graduate School of Converging Science and Technology , Korea University , Seoul 136-705 , Republic of Korea
| | | | | | | | | | | | - Ki Jun Yu
- School of Electrical and Electronic Engineering , Yonsei University , Seoul 03722 , Republic of Korea
| | | | - Youngmee Jung
- Division of Bio-Medical Science & Technology , KIST School, Korea University of Science and Technology , Seoul 02792 , Republic of Korea
| | - Jiyeon Lee
- Division of Bio-Medical Science & Technology , KIST School, Korea University of Science and Technology , Seoul 02792 , Republic of Korea
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49
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Focal, remote-controlled, chronic chemical modulation of brain microstructures. Proc Natl Acad Sci U S A 2018; 115:7254-7259. [PMID: 29941557 DOI: 10.1073/pnas.1804372115] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Direct delivery of fluid to brain parenchyma is critical in both research and clinical settings. This is usually accomplished through acutely inserted cannulas. This technique, however, results in backflow and significant dispersion away from the infusion site, offering little spatial or temporal control in delivering fluid. We present an implantable, MRI-compatible, remotely controlled drug delivery system for minimally invasive interfacing with brain microstructures in freely moving animals. We show that infusions through acutely inserted needles target a region more than twofold larger than that of identical infusions through chronically implanted probes due to reflux and backflow. We characterize the dynamics of in vivo infusions using positron emission tomography techniques. Volumes as small as 167 nL of copper-64 and fludeoxyglucose labeled agents are quantified. We further demonstrate the importance of precise drug volume dosing to neural structures to elicit behavioral effects reliably. Selective modulation of the substantia nigra, a critical node in basal ganglia circuitry, via muscimol infusion induces behavioral changes in a volume-dependent manner, even when the total dose remains constant. Chronic device viability is confirmed up to 1-y implantation in rats. This technology could potentially enable precise investigation of neurological disease pathology in preclinical models, and more efficacious treatment in human patients.
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50
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Continuous intrathecal orexin delivery inhibits cataplexy in a murine model of narcolepsy. Proc Natl Acad Sci U S A 2018; 115:6046-6051. [PMID: 29784823 DOI: 10.1073/pnas.1722686115] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Narcolepsy-cataplexy is a chronic neurological disorder caused by loss of orexin (hypocretin)-producing neurons, associated with excessive daytime sleepiness, sleep attacks, cataplexy, sleep paralysis, hypnagogic hallucinations, and fragmentation of nighttime sleep. Currently, human narcolepsy is treated by providing symptomatic therapies, which can be associated with an array of side effects. Although peripherally administered orexin does not efficiently penetrate the blood-brain barrier, centrally delivered orexin can effectively alleviate narcoleptic symptoms in animal models. Chronic intrathecal drug infusion through an implantable pump is a clinically available strategy to treat a number of neurological diseases. Here we demonstrate that the narcoleptic symptoms of orexin knockout mice can be reversed by lumbar-level intrathecal orexin delivery. Orexin was delivered via a chronically implanted intrathecal catheter at the upper lumbar level. The computed tomographic scan confirmed that intrathecally administered contrast agent rapidly moved from the spinal cord to the brain. Intrathecally delivered orexin was detected in the brain by radioimmunoassay at levels comparable to endogenous orexin levels. Cataplexy and sleep-onset REM sleep were significantly decreased in orexin knockout mice during and long after slow infusion of orexin (1 nmol/1 µL/h). Sleep/wake states remained unchanged both quantitatively as well as qualitatively. Intrathecal orexin failed to induce any changes in double orexin receptor-1 and -2 knockout mice. This study supports the concept of intrathecal orexin delivery as a potential therapy for narcolepsy-cataplexy to improve the well-being of patients.
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